package com.caseprocessing.enhanced;

import com.caseprocessing.ai.AIServiceManager;
import com.caseprocessing.ai.language.SemanticDocumentProcessor;
import com.caseprocessing.ai.language.SemanticResultModels.*;
import com.caseprocessing.ai.vision.VisionDocumentAnalyzer;
import com.caseprocessing.ai.vision.VisionResultModels.*;
import com.caseprocessing.model.DocumentSegment;
import com.caseprocessing.model.DocumentType;
import com.caseprocessing.service.EnhancedComplianceChecker;
import com.caseprocessing.service.LegalCitationValidator;

import java.util.*;
import java.util.concurrent.CompletableFuture;
import java.util.stream.Collectors;

/**
 * AI增强的合规性检查器
 * 结合传统规则检查和AI智能分析，提供全面的合规性验证
 */
public class AIEnhancedComplianceChecker {
    
    private final EnhancedComplianceChecker traditionalChecker;
    private final AIServiceManager aiServiceManager;
    private final SemanticDocumentProcessor semanticProcessor;
    private final VisionDocumentAnalyzer visionAnalyzer;
    private final LegalCitationValidator citationValidator;
    private final ComplianceConfig config;
    
    public AIEnhancedComplianceChecker(
            EnhancedComplianceChecker traditionalChecker,
            AIServiceManager aiServiceManager,
            SemanticDocumentProcessor semanticProcessor,
            VisionDocumentAnalyzer visionAnalyzer,
            LegalCitationValidator citationValidator) {
        
        this.traditionalChecker = traditionalChecker;
        this.aiServiceManager = aiServiceManager;
        this.semanticProcessor = semanticProcessor;
        this.visionAnalyzer = visionAnalyzer;
        this.citationValidator = citationValidator;
        this.config = new ComplianceConfig();
    }
    
    /**
     * AI增强的综合合规性检查
     * 多维度、多模态的智能合规验证
     */
    public CompletableFuture<AIComplianceResult> comprehensiveComplianceCheck(
            DocumentSegment documentSegment,
            List<String> documentImages,
            List<String> legalStandards) {
        
        // 1. 并行执行多种检查
        CompletableFuture<TraditionalComplianceResult> traditionalCheck = 
            executeTraditionalCheck(documentSegment);
        
        CompletableFuture<SemanticComplianceResult> semanticCheck = 
            executeSemanticComplianceCheck(documentSegment, legalStandards);
        
        CompletableFuture<VisualComplianceResult> visualCheck = 
            executeVisualComplianceCheck(documentImages);
        
        CompletableFuture<LegalCitationResult> citationCheck = 
            executeCitationCheck(documentSegment);
        
        // 2. 等待所有检查完成并融合结果
        return CompletableFuture.allOf(traditionalCheck, semanticCheck, visualCheck, citationCheck)
                .thenCompose(v -> {
                    try {
                        return fuseComplianceResults(
                            documentSegment,
                            traditionalCheck.get(),
                            semanticCheck.get(),
                            visualCheck.get(),
                            citationCheck.get()
                        );
                    } catch (Exception e) {
                        return CompletableFuture.failedFuture(
                            new RuntimeException("合规性检查融合失败", e)
                        );
                    }
                });
    }
    
    /**
     * 智能合规风险评估
     * 基于AI分析进行风险等级评估
     */
    public CompletableFuture<ComplianceRiskAssessment> assessComplianceRisk(
            List<DocumentSegment> documentSegments,
            Map<String, Object> caseContext) {
        
        // 1. 批量执行合规检查
        List<CompletableFuture<AIComplianceResult>> checkFutures = documentSegments.stream()
                .map(segment -> comprehensiveComplianceCheck(segment, null, Collections.emptyList()))
                .collect(Collectors.toList());
        
        // 2. 聚合分析结果
        return CompletableFuture.allOf(checkFutures.toArray(new CompletableFuture[0]))
                .thenCompose(v -> {
                    List<AIComplianceResult> results = checkFutures.stream()
                            .map(CompletableFuture::join)
                            .collect(Collectors.toList());
                    
                    return performRiskAssessment(results, caseContext);
                });
    }
    
    /**
     * 自适应合规检查
     * 根据文书类型和历史数据自动调整检查策略
     */
    public CompletableFuture<AIComplianceResult> adaptiveComplianceCheck(
            DocumentSegment documentSegment,
            List<String> documentImages,
            Map<String, Object> historicalData) {
        
        // 1. 分析历史模式
        ComplianceStrategy strategy = analyzeHistoricalPatterns(documentSegment.getDocumentType(), historicalData);
        
        // 2. 根据策略调整检查权重
        adjustCheckingWeights(strategy);
        
        // 3. 执行自适应检查
        return comprehensiveComplianceCheck(documentSegment, documentImages, strategy.getLegalStandards())
                .thenApply(result -> enhanceResultWithStrategy(result, strategy));
    }
    
    /**
     * 实时合规监控
     * 持续监控合规状态变化
     */
    public CompletableFuture<ComplianceMonitoringResult> monitorComplianceStatus(
            List<DocumentSegment> documentSegments,
            ComplianceMonitoringConfig monitoringConfig) {
        
        List<CompletableFuture<ComplianceMetrics>> metricsFutures = documentSegments.stream()
                .map(this::calculateComplianceMetrics)
                .collect(Collectors.toList());
        
        return CompletableFuture.allOf(metricsFutures.toArray(new CompletableFuture[0]))
                .thenApply(v -> {
                    List<ComplianceMetrics> allMetrics = metricsFutures.stream()
                            .map(CompletableFuture::join)
                            .collect(Collectors.toList());
                    
                    return generateMonitoringReport(allMetrics, monitoringConfig);
                });
    }
    
    /**
     * 智能改进建议生成
     * 基于AI分析生成具体的改进建议
     */
    public CompletableFuture<ComplianceImprovementPlan> generateImprovementPlan(
            AIComplianceResult complianceResult,
            DocumentSegment documentSegment) {
        
        // 1. 识别关键问题
        List<String> criticalIssues = identifyCriticalIssues(complianceResult);
        
        // 2. 生成AI改进建议
        return semanticProcessor.generateImprovementSuggestions(documentSegment, criticalIssues)
                .thenApply(suggestions -> createComplianceImprovementPlan(suggestions, complianceResult));
    }
    
    /**
     * 批量合规性验证
     * 大规模文档的批量合规检查
     */
    public CompletableFuture<BatchComplianceResult> batchComplianceValidation(
            List<DocumentSegment> documentSegments,
            BatchProcessingConfig batchConfig) {
        
        // 1. 按批次分组处理
        List<List<DocumentSegment>> batches = partitionIntoBatches(documentSegments, batchConfig.getBatchSize());
        
        List<CompletableFuture<List<AIComplianceResult>>> batchFutures = batches.stream()
                .map(batch -> processBatch(batch, batchConfig))
                .collect(Collectors.toList());
        
        // 2. 合并批次结果
        return CompletableFuture.allOf(batchFutures.toArray(new CompletableFuture[0]))
                .thenApply(v -> {
                    List<AIComplianceResult> allResults = batchFutures.stream()
                            .flatMap(future -> future.join().stream())
                            .collect(Collectors.toList());
                    
                    return createBatchComplianceResult(allResults, batchConfig);
                });
    }
    
    // ============ 私有方法实现 ============
    
    /**
     * 执行传统合规检查
     */
    private CompletableFuture<TraditionalComplianceResult> executeTraditionalCheck(
            DocumentSegment documentSegment) {
        
        return CompletableFuture.supplyAsync(() -> {
            try {
                var traditionalResult = traditionalChecker.checkDocumentCompliance(documentSegment);
                return new TraditionalComplianceResult(traditionalResult);
            } catch (Exception e) {
                throw new RuntimeException("传统合规检查失败", e);
            }
        });
    }
    
    /**
     * 执行语义合规检查
     */
    private CompletableFuture<SemanticComplianceResult> executeSemanticComplianceCheck(
            DocumentSegment documentSegment,
            List<String> legalStandards) {
        
        return semanticProcessor.complianceReasoning(
            documentSegment, 
            documentSegment.getDocumentType(), 
            legalStandards
        ).thenApply(SemanticComplianceResult::new);
    }
    
    /**
     * 执行视觉合规检查
     */
    private CompletableFuture<VisualComplianceResult> executeVisualComplianceCheck(
            List<String> documentImages) {
        
        if (documentImages == null || documentImages.isEmpty()) {
            return CompletableFuture.completedFuture(new VisualComplianceResult(null));
        }
        
        return visionAnalyzer.detectSealsAndSignatures(documentImages)
                .thenApply(VisualComplianceResult::new);
    }
    
    /**
     * 执行法条引用检查
     */
    private CompletableFuture<LegalCitationResult> executeCitationCheck(
            DocumentSegment documentSegment) {
        
        return CompletableFuture.supplyAsync(() -> 
            citationValidator.validateLegalCitations(documentSegment.getContent())
        );
    }
    
    /**
     * 融合多种合规检查结果
     */
    private CompletableFuture<AIComplianceResult> fuseComplianceResults(
            DocumentSegment documentSegment,
            TraditionalComplianceResult traditionalResult,
            SemanticComplianceResult semanticResult,
            VisualComplianceResult visualResult,
            LegalCitationResult citationResult) {
        
        return CompletableFuture.supplyAsync(() -> {
            AIComplianceResult fusedResult = new AIComplianceResult();
            
            // 1. 计算综合合规评分
            double overallScore = calculateOverallComplianceScore(
                traditionalResult, semanticResult, visualResult, citationResult
            );
            fusedResult.setOverallComplianceScore(overallScore);
            
            // 2. 合并所有问题
            List<ComplianceIssue> allIssues = new ArrayList<>();
            allIssues.addAll(extractIssuesFromTraditional(traditionalResult));
            allIssues.addAll(extractIssuesFromSemantic(semanticResult));
            allIssues.addAll(extractIssuesFromVisual(visualResult));
            allIssues.addAll(extractIssuesFromCitation(citationResult));
            fusedResult.setIdentifiedIssues(allIssues);
            
            // 3. 智能去重和优先级排序
            List<ComplianceIssue> deduplicatedIssues = deduplicateAndPrioritizeIssues(allIssues);
            fusedResult.setIdentifiedIssues(deduplicatedIssues);
            
            // 4. 生成综合建议
            List<String> consolidatedRecommendations = generateConsolidatedRecommendations(
                traditionalResult, semanticResult, visualResult, citationResult
            );
            fusedResult.setRecommendations(consolidatedRecommendations);
            
            // 5. 风险评估
            ComplianceRiskLevel riskLevel = assessOverallRisk(overallScore, allIssues);
            fusedResult.setRiskLevel(riskLevel);
            
            // 6. 置信度评估
            double confidence = calculateFusionConfidence(
                traditionalResult, semanticResult, visualResult, citationResult
            );
            fusedResult.setConfidence(confidence);
            
            return fusedResult;
        });
    }
    
    /**
     * 计算综合合规评分
     */
    private double calculateOverallComplianceScore(
            TraditionalComplianceResult traditional,
            SemanticComplianceResult semantic,
            VisualComplianceResult visual,
            LegalCitationResult citation) {
        
        double traditionalWeight = config.getTraditionalWeight();
        double semanticWeight = config.getSemanticWeight();
        double visualWeight = config.getVisualWeight();
        double citationWeight = config.getCitationWeight();
        
        double traditionalScore = traditional.getComplianceScore();
        double semanticScore = semantic.getComplianceScore();
        double visualScore = visual.getComplianceScore();
        double citationScore = citation.isValid() ? 1.0 : 0.0;
        
        return (traditionalScore * traditionalWeight +
                semanticScore * semanticWeight +
                visualScore * visualWeight +
                citationScore * citationWeight) /
               (traditionalWeight + semanticWeight + visualWeight + citationWeight);
    }
    
    /**
     * 智能去重和优先级排序
     */
    private List<ComplianceIssue> deduplicateAndPrioritizeIssues(List<ComplianceIssue> allIssues) {
        // 1. 语义去重
        Map<String, ComplianceIssue> semanticGroups = new HashMap<>();
        
        for (ComplianceIssue issue : allIssues) {
            String semanticKey = generateSemanticKey(issue);
            
            if (semanticGroups.containsKey(semanticKey)) {
                // 合并相似问题
                ComplianceIssue existing = semanticGroups.get(semanticKey);
                ComplianceIssue merged = mergeComplianceIssues(existing, issue);
                semanticGroups.put(semanticKey, merged);
            } else {
                semanticGroups.put(semanticKey, issue);
            }
        }
        
        // 2. 按严重程度和置信度排序
        return semanticGroups.values().stream()
                .sorted((a, b) -> {
                    // 先按严重程度排序
                    int severityComparison = compareSeverity(a.getSeverity(), b.getSeverity());
                    if (severityComparison != 0) {
                        return severityComparison;
                    }
                    // 再按置信度排序
                    return Double.compare(b.getConfidence(), a.getConfidence());
                })
                .collect(Collectors.toList());
    }
    
    /**
     * 执行风险评估
     */
    private CompletableFuture<ComplianceRiskAssessment> performRiskAssessment(
            List<AIComplianceResult> results,
            Map<String, Object> caseContext) {
        
        return CompletableFuture.supplyAsync(() -> {
            ComplianceRiskAssessment assessment = new ComplianceRiskAssessment();
            
            // 1. 统计分析
            int totalDocuments = results.size();
            long highRiskCount = results.stream()
                    .filter(r -> r.getRiskLevel() == ComplianceRiskLevel.HIGH)
                    .count();
            long mediumRiskCount = results.stream()
                    .filter(r -> r.getRiskLevel() == ComplianceRiskLevel.MEDIUM)
                    .count();
            
            // 2. 计算整体风险评分
            double averageScore = results.stream()
                    .mapToDouble(AIComplianceResult::getOverallComplianceScore)
                    .average()
                    .orElse(0.0);
            
            // 3. 识别系统性风险
            List<String> systemicRisks = identifySystemicRisks(results);
            
            // 4. 生成风险报告
            assessment.setTotalDocuments(totalDocuments);
            assessment.setHighRiskCount((int) highRiskCount);
            assessment.setMediumRiskCount((int) mediumRiskCount);
            assessment.setAverageComplianceScore(averageScore);
            assessment.setSystemicRisks(systemicRisks);
            assessment.setOverallRiskLevel(determineOverallRiskLevel(averageScore, highRiskCount, totalDocuments));
            
            return assessment;
        });
    }
    
    /**
     * 分析历史模式
     */
    private ComplianceStrategy analyzeHistoricalPatterns(
            DocumentType documentType,
            Map<String, Object> historicalData) {
        
        ComplianceStrategy strategy = new ComplianceStrategy();
        strategy.setDocumentType(documentType);
        
        // 分析历史数据中的常见问题
        @SuppressWarnings("unchecked")
        List<String> commonIssues = (List<String>) historicalData.getOrDefault("common_issues", Collections.emptyList());
        strategy.setFocusAreas(commonIssues);
        
        // 根据文书类型设置检查权重
        switch (documentType) {
            case CASE_DECISION:
                strategy.setSemanticWeight(0.4);
                strategy.setTraditionalWeight(0.4);
                strategy.setVisualWeight(0.2);
                break;
            case INVESTIGATION_RECORD:
                strategy.setSemanticWeight(0.5);
                strategy.setTraditionalWeight(0.3);
                strategy.setVisualWeight(0.2);
                break;
            default:
                strategy.setSemanticWeight(0.35);
                strategy.setTraditionalWeight(0.35);
                strategy.setVisualWeight(0.3);
                break;
        }
        
        return strategy;
    }
    
    /**
     * 计算合规指标
     */
    private CompletableFuture<ComplianceMetrics> calculateComplianceMetrics(
            DocumentSegment documentSegment) {
        
        return comprehensiveComplianceCheck(documentSegment, null, Collections.emptyList())
                .thenApply(result -> {
                    ComplianceMetrics metrics = new ComplianceMetrics();
                    metrics.setDocumentId(documentSegment.getDocumentId());
                    metrics.setDocumentType(documentSegment.getDocumentType());
                    metrics.setComplianceScore(result.getOverallComplianceScore());
                    metrics.setIssueCount(result.getIdentifiedIssues().size());
                    metrics.setRiskLevel(result.getRiskLevel());
                    metrics.setProcessingTimestamp(java.time.LocalDateTime.now());
                    return metrics;
                });
    }
    
    /**
     * 批次处理
     */
    private CompletableFuture<List<AIComplianceResult>> processBatch(
            List<DocumentSegment> batch,
            BatchProcessingConfig config) {
        
        List<CompletableFuture<AIComplianceResult>> futures = batch.stream()
                .map(segment -> comprehensiveComplianceCheck(segment, null, Collections.emptyList()))
                .collect(Collectors.toList());
        
        return CompletableFuture.allOf(futures.toArray(new CompletableFuture[0]))
                .thenApply(v -> futures.stream()
                        .map(CompletableFuture::join)
                        .collect(Collectors.toList()));
    }
    
    // ============ 辅助方法 ============
    
    private void adjustCheckingWeights(ComplianceStrategy strategy) {
        config.setSemanticWeight(strategy.getSemanticWeight());
        config.setTraditionalWeight(strategy.getTraditionalWeight());
        config.setVisualWeight(strategy.getVisualWeight());
    }
    
    private AIComplianceResult enhanceResultWithStrategy(
            AIComplianceResult result, 
            ComplianceStrategy strategy) {
        result.setAppliedStrategy(strategy);
        return result;
    }
    
    private List<String> identifyCriticalIssues(AIComplianceResult complianceResult) {
        return complianceResult.getIdentifiedIssues().stream()
                .filter(issue -> "HIGH".equals(issue.getSeverity()) || "CRITICAL".equals(issue.getSeverity()))
                .map(ComplianceIssue::getDescription)
                .collect(Collectors.toList());
    }
    
    private ComplianceImprovementPlan createComplianceImprovementPlan(
            ImprovementSuggestionResult suggestions,
            AIComplianceResult complianceResult) {
        
        ComplianceImprovementPlan plan = new ComplianceImprovementPlan();
        plan.setComplianceResult(complianceResult);
        plan.setImprovementSuggestions(suggestions);
        plan.setGenerationTimestamp(java.time.LocalDateTime.now());
        return plan;
    }
    
    private List<List<DocumentSegment>> partitionIntoBatches(
            List<DocumentSegment> documents, 
            int batchSize) {
        
        List<List<DocumentSegment>> batches = new ArrayList<>();
        for (int i = 0; i < documents.size(); i += batchSize) {
            int endIndex = Math.min(i + batchSize, documents.size());
            batches.add(documents.subList(i, endIndex));
        }
        return batches;
    }
    
    private BatchComplianceResult createBatchComplianceResult(
            List<AIComplianceResult> allResults,
            BatchProcessingConfig config) {
        
        BatchComplianceResult batchResult = new BatchComplianceResult();
        batchResult.setTotalProcessed(allResults.size());
        batchResult.setProcessingConfig(config);
        batchResult.setResults(allResults);
        batchResult.setProcessingTimestamp(java.time.LocalDateTime.now());
        
        // 统计信息
        double averageScore = allResults.stream()
                .mapToDouble(AIComplianceResult::getOverallComplianceScore)
                .average()
                .orElse(0.0);
        batchResult.setAverageComplianceScore(averageScore);
        
        Map<ComplianceRiskLevel, Long> riskDistribution = allResults.stream()
                .collect(Collectors.groupingBy(
                    AIComplianceResult::getRiskLevel,
                    Collectors.counting()
                ));
        batchResult.setRiskDistribution(riskDistribution);
        
        return batchResult;
    }
    
    // 其他辅助方法的简化实现...
    private List<ComplianceIssue> extractIssuesFromTraditional(TraditionalComplianceResult result) {
        return Collections.emptyList(); // 简化实现
    }
    
    private List<ComplianceIssue> extractIssuesFromSemantic(SemanticComplianceResult result) {
        return Collections.emptyList(); // 简化实现
    }
    
    private List<ComplianceIssue> extractIssuesFromVisual(VisualComplianceResult result) {
        return Collections.emptyList(); // 简化实现
    }
    
    private List<ComplianceIssue> extractIssuesFromCitation(LegalCitationResult result) {
        return Collections.emptyList(); // 简化实现
    }
    
    private List<String> generateConsolidatedRecommendations(
            TraditionalComplianceResult traditional,
            SemanticComplianceResult semantic,
            VisualComplianceResult visual,
            LegalCitationResult citation) {
        return Collections.emptyList(); // 简化实现
    }
    
    private ComplianceRiskLevel assessOverallRisk(double overallScore, List<ComplianceIssue> issues) {
        if (overallScore < 0.6) return ComplianceRiskLevel.HIGH;
        if (overallScore < 0.8) return ComplianceRiskLevel.MEDIUM;
        return ComplianceRiskLevel.LOW;
    }
    
    private double calculateFusionConfidence(
            TraditionalComplianceResult traditional,
            SemanticComplianceResult semantic,
            VisualComplianceResult visual,
            LegalCitationResult citation) {
        return 0.85; // 简化实现
    }
    
    private String generateSemanticKey(ComplianceIssue issue) {
        return issue.getIssueType() + "_" + issue.getDescription().substring(0, Math.min(20, issue.getDescription().length()));
    }
    
    private ComplianceIssue mergeComplianceIssues(ComplianceIssue existing, ComplianceIssue newIssue) {
        // 选择置信度更高的问题
        return existing.getConfidence() > newIssue.getConfidence() ? existing : newIssue;
    }
    
    private int compareSeverity(String severity1, String severity2) {
        Map<String, Integer> severityOrder = Map.of(
            "CRITICAL", 4, "HIGH", 3, "MEDIUM", 2, "LOW", 1
        );
        return Integer.compare(
            severityOrder.getOrDefault(severity2, 0),
            severityOrder.getOrDefault(severity1, 0)
        );
    }
    
    private List<String> identifySystemicRisks(List<AIComplianceResult> results) {
        return Collections.emptyList(); // 简化实现
    }
    
    private ComplianceRiskLevel determineOverallRiskLevel(double averageScore, long highRiskCount, int totalDocuments) {
        double highRiskRatio = (double) highRiskCount / totalDocuments;
        if (averageScore < 0.6 || highRiskRatio > 0.3) return ComplianceRiskLevel.HIGH;
        if (averageScore < 0.8 || highRiskRatio > 0.1) return ComplianceRiskLevel.MEDIUM;
        return ComplianceRiskLevel.LOW;
    }
    
    private ComplianceMonitoringResult generateMonitoringReport(
            List<ComplianceMetrics> allMetrics,
            ComplianceMonitoringConfig config) {
        
        ComplianceMonitoringResult result = new ComplianceMonitoringResult();
        result.setMetrics(allMetrics);
        result.setMonitoringConfig(config);
        result.setReportTimestamp(java.time.LocalDateTime.now());
        return result;
    }
}